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ConverterMasked: better lct

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iperov
2019-02-14 18:43:24 +04:00
parent fbf6b5f25e
commit 75eb7468ee
2 changed files with 4 additions and 3 deletions
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3
models/ConverterMasked.py
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@@ -220,7 +220,8 @@ class ConverterMasked(ConverterBase):
debugs += [ np.clip( cv2.warpAffine( prd_face_bgr, face_output_mat, img_size, np.zeros(img_bgr.shape, dtype=np.float32), cv2.WARP_INVERSE_MAP | cv2.INTER_LANCZOS4, cv2.BORDER_TRANSPARENT ), 0, 1.0) ]
prd_face_bgr = image_utils.reinhard_color_transfer ( np.clip( (prd_face_bgr*255).astype(np.uint8), 0, 255),
np.clip( (dst_face_bgr*255).astype(np.uint8), 0, 255) )
np.clip( (dst_face_bgr*255).astype(np.uint8), 0, 255),
source_mask=prd_face_mask_a, target_mask=prd_face_mask_a)
prd_face_bgr = np.clip( prd_face_bgr.astype(np.float32) / 255.0, 0.0, 1.0)
if debug:

4
samples/SampleGeneratorFace.py
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@@ -157,10 +157,10 @@ class SampleGeneratorFace(SampleGeneratorBase):
pitch, yaw = LandmarksProcessor.estimate_pitch_yaw (sample.landmarks)
if self.add_pitch:
batches[i_pitch].append (pitch)
batches[i_pitch].append ([pitch])
if self.add_yaw:
batches[i_yaw].append (yaw)
batches[i_yaw].append ([yaw])
break
yield [ np.array(batch) for batch in batches]